SOTAVerified

Autonomous Vehicles

Autonomous vehicles is the task of making a vehicle that can guide itself without human conduction.

Many of the state-of-the-art results can be found at more general task pages such as 3D Object Detection and Semantic Segmentation.

( Image credit: GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision )

Papers

Showing 22912300 of 2605 papers

TitleStatusHype
Object Viewpoint Classification Based 3D Bounding Box Estimation for Autonomous Vehicles0
3D Bounding Box Estimation for Autonomous Vehicles by Cascaded Geometric Constraints and Depurated 2D Detections Using 3D Results0
Automated Detecting and Placing Road Objects from Street-level Images0
Inception-inspired LSTM for Next-frame Video PredictionCode0
Generic Tracking and Probabilistic Prediction Framework and Its Application in Autonomous Driving0
Stackelberg Punishment and Bully-Proofing Autonomous Vehicles0
Cross-Enhancement Transform Two-Stream 3D ConvNets for Action Recognition0
How far should self-driving cars see? Effect of observation range on vehicle self-localization0
Assessing the Safety and Reliability of Autonomous Vehicles from Road Testing0
Bypass Enhancement RGB Stream Model for Pedestrian Action Recognition of Autonomous Vehicles0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BAAMA3DP22.85Unverified
2GSNetA3DP20.21Unverified